Semantic segmentation

Use of Machine learning to segment out long-term static object such as buildings.

The dataset v0.1.0

Results from dataset v0.0.1 and a bump to v0.1.0

Posted by Vegard Bergsvik Øvstegård on November 11, 2020

Post Machine-learning

The dataset v0.0.1

GIL segmentation dataset created with automated annotations, were the goal is to be large and diverse enough to reach satisfying localization results.

Posted by Vegard Bergsvik Øvstegård on November 9, 2020

Post Machine-learning

Dataset generation pt. 3

Using QGIS to get ground truth-images.

Posted by Vegard Bergsvik Øvstegård on November 5, 2020

Post Machine-learning

Dataset generation pt. 2

A short update on the orthophoto map order.

Posted by Vegard Bergsvik Øvstegård on October 30, 2020

Post Machine-learning

Dataset generation

Some thoughts and status around the dataset.

Posted by Vegard Bergsvik Øvstegård on October 28, 2020

Post Machine-learning

Semantic Segmentation Background

This post contains an overview and description of former work and terminology related to Semantic Segmentation.

Posted by Vegard Bergsvik Øvstegård on October 25, 2020

Post Machine-learning

Pytorch(v>=1.6.0) performance tuning tips

Simple techniques to improve training performance

Posted by Vegard Bergsvik Øvstegård on September 23, 2020

Post Optimizations Machine-learning